Adaptive Fuzzy Approach to Gaussian Noise Removal in Gray Scale Images
Deepinder Kaur, Baljit Singh · 2012
Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. A New Fuzzy Filter that adopts Fuzzy Logic is proposed in this paper which removes Gaussian Noise from the Corrupted Gray scale Images. The main concern of the present filter is to distinguish between local variations due to noise and due to image structure. It uses 14 fuzzy rule based convolution mask on every pixel of the image. Objective performance of the proposed algorithm is compared with conventional methods based on Mean Square Error (MSE), Root Mean Square Error (RMSE), Signal to Noise Ratio (SNR) and Peak Signal to Noise Ratio(PSNR). The results illustrate that the proposed method can be used as an effective Noise removal method for